Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach. (Q34246815)

31 July 2017

title

Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach. (English)

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31 July 2017

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Yu-Xi Pan

1

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31 July 2017

Zhi-Zhou Zhang

2

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31 July 2017

Zong-Ming Guo

3

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31 July 2017

Guo-Yin Feng

4

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31 July 2017

Zhen-De Huang

5

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31 July 2017

Lin He

6

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31 July 2017

publication date

1 May 2003

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31 July 2017

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31 July 2017

volume

22

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31 July 2017

issue

4

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31 July 2017

page(s)

395-402

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Protein subcellular location prediction

31 July 2017

cites work

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12 December 2020

Prediction of membrane protein types and subcellular locations.

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12 December 2020

Prediction of protein subcellular locations by incorporating quasi-sequence-order effect

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12 December 2020

Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins.

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12 December 2020

Prediction of protein cellular attributes using pseudo-amino acid composition

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12 December 2020

Is it a paradox or misinterpretation?

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12 December 2020

Some insights into protein structural class prediction

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12 December 2020

Support vector machines for prediction of protein subcellular location.

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12 December 2020

Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect.

1 reference

12 December 2020

Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

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12 December 2020

Prediction of protein structural classes and subcellular locations

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12 December 2020

A study on the correlation of G-protein-coupled receptor types with amino acid composition.

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12 December 2020

Subcellular location prediction of apoptosis proteins

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12 December 2020

Bioinformatical analysis of G-protein-coupled receptors

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12 December 2020

Prediction of Enzyme Family Classes

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12 December 2020

The folding type of a protein is relevant to the amino acid composition

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12 December 2020

A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space

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12 December 2020

Prediction of Protein Structural Classes

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12 December 2020

Predicting protein folding types by distance functions that make allowances for amino acid interactions.

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12 December 2020

Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies.

1 reference

12 December 2020

A new approach to predicting protein folding types

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12 December 2020

Relation between amino acid composition and cellular location of proteins.

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12 December 2020

Using neural networks for prediction of the subcellular location of proteins

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12 December 2020

Prediction and classification of domain structural classes.

1 reference

12 December 2020

Prediction of protein structural classes by modified mahalanobis discriminant algorithm.

1 reference

12 December 2020

Using discriminant function for prediction of subcellular location of prokaryotic proteins

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12 December 2020

An intriguing controversy over protein structural class prediction

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12 December 2020

Identifiers

DOI

10.1023/A:1025350409648

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Dimensions Publication ID

31 July 2017

1030059090

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